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THE USE OF GIS IN RECORDING OLD SCENERY AND BUILDING IN JAKARTA

Agus Budi Purnomo*

 

Abstrak

Paper ini menerangkan database bangunan dan landskap tua kota Jakarta yang dikembangkan oleh penulis. Database dibentuk menggunakan perangkat Sistim Informasi Geografis (SIG) Arc-View dari ESRI. Informasi dalam database disusun berdasarkan lokasi tempat bangunan dan landskap itu berada. Selain lokasi, informasi yang ada dalam database ini bukan hanya yang bersifat tekstual tapi juga informasi grafis seperti gambar denah, tampak, potongan bangunan dan lukisan landskap. Informasi dalam database dapat dikembangkan sesuai kebutuhan peneliti. Semua informasi tambahan itu akan memperlengkap database tersebut. Dengan demikian database ini bisa berkembang sesuai dengan penggunaan oleh para peneliti.

Introduction*

Jakarta once was known as the queen-city-of-the-East (Heuken,1997). This fact was known from the various landscape-paintings, which describes the many beautiful places in Jakarta. For instance between 1764-1783 Dutch called Johannes Rach had paint many scenery around Jakarta. Most of the painting done by Rach accurately des-cribed the physical condition of the places and buildings in Jakarta in that era.

Other example are the paintings done by A. Beeckman who lived in Batavia or present day Jakarta shows not only of physical setting but also of the way people lived in that era (Haks, and Maris, 1995). Those pain-tings not only gave us the chance to understand Jakarta in olden time, but can also be the source of knowledge on how cue could develop Jakarta in the present time. It is only with such view in mind, we could move to the future without forgetting our heri-tage from past. With those issues in mind, beginning in 1998, the Urban Research Center of University of Trisakti had begun to develop a database of landscape and Building in Jakarta.

Data Base Of Landscape And Buildings In Jakarta

At present our database contains two important items. The first item is the landscape of Jakarta since the begin-ning of 16th century to the new mil-lennium. The second item is of buil-dings from the same period of time.

The data comes from various sources which includes:

Antique books (eg. Hans, 1923).

National Archives.

Contemporary literature (eg. Ha-kim, 1972; Mann, 1996).

Visual surveys of present con-ditions.

The data base of landscape contain the followings information:

Short name of the landscape (max 8 letter).

Unique ID of the landscape.

Textual descriptions of the land-scape.

Information sources where the landscape was known.

Year when the landscape were painted.

Location where the landscape can be seen.

Object to where the view of the landscape could be directed.

The painter or photographer of the landscape.

Present image of the landscape.

Comments of the observation that exists at the present time.

The database of buildings contains the following information:

Short name of the buildings (max. 8 letters).

Unique ID of the buildings.

Textual description of the build-ings.

Information sources where the buildings were known.

Year of completion.

Year of demolition.

Year of changes (renovation, re-habilitation etc.).

Initial function of the buildings.

Other functional changes and the period or year when the changes took places. Present (1999) func-tion of the buildings.

Plans, sections, facades of the bu-ildings.

Details of the buildings.

Perspectives or photographs of the buildings.

The architects who design and planned the buildings.

The contractor or developer who construct the buildings.

Most of the data are in the form of text or number. However, the data-base also includes image data such as perspective, photograph (Figure 1.), drawings of facades and building plans (Figure 2 and Figure 3).

Figure 1. Perspective painting.

All of the data were stored on Arc View files and other image files. The buildings were considered as points-object and the landscape as lines that

connect the viewing point to the object point. (Figure 4. and Figure 5).

An Example Of Analysis

The feature of the database menti-oned above can be considered as extendible and can be tailored to suit the need of certain researcher. The following cases are example how the database are used and enhance by our researchers.

 

Figure 3. Building plan.

Figure 4. Map of buildings.

Case1

In this case the intention of the researcher is to see the degree of obstruction to the old vistas as it is seen on old paintings. Figure 6 is the map that shows the degree of obstruction. From the map we can understand that most of the old vistas at present are obstructed by buildings and natural elements.

Case 2

The intention of the study is to see how climatic consideration had influenced the design of 17th and 18th buildings in Jakarta. One of the items that were added by the researcher to the database is the existence of arcade or gallery on buildings. Figure 7 shows the map of 17th and 18th century buildings in terms of the length of its gallery.

Figure 5. Map of landscape vistas.

Conclusion

Even though still in preliminary stage of development, the database of landscape and buildings in Jakarta have already proved valuable to some of our researchers. In the future we hope that by exposing the database to more researchers we could further enhance it.

Figure 7. Galeries at buildings.

References

Haan, F. de, Oud-Batavia (2 vols) en Platenalbum Oud Batavia, Batavia: 1923.

Hakim, A., Jakarta Tempo Doe-loe, Media Antarkota Jaya: Jakar-ta, 1972.

Haks and Maris, Lexicon of Fo-reign Artists who Visualize In-donesia (1600-1950), Archipela-go press: Singapore, 1995.

Heuken, A. S. J., Tempat-tempat bersejarah di Jakarta, Cipta Loka Caraka: Jakarta 1997.

Mann, R., The Old City of Jakarta TODAY, A Practical Gui-de For Tourists, Gateway Books: Jakarta, 1996.

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